Instructions to use lithish2602/sample_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lithish2602/sample_data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="lithish2602/sample_data")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("lithish2602/sample_data") model = AutoModelForTextToSpectrogram.from_pretrained("lithish2602/sample_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 234 Bytes
1458497 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"bos_token": "<s>",
"eos_token": "</s>",
"mask_token": {
"content": "<mask>",
"lstrip": true,
"normalized": true,
"rstrip": false,
"single_word": false
},
"pad_token": "<pad>",
"unk_token": "<unk>"
}
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